At Synechron, we believe in the power of digital to transform businesses for the better.
Our teams deliver industry-leading solutions for financial services and technology firms. We leverage the latest technologies and optimization strategies in the areas of Engineering, Artificial Intelligence, Data, and Systems Integration.
Synechron Serbia is part of the global Synechron company, based in New York. With top clients to boast about, Synechron has a global workforce of 14.700+ and has 48 offices in 19 countries within key global markets.
We are hiring a Data Engineer
Hybrid working model - Belgrade office
We are hiring a Data Engineer to be an integral team member in handling financial data through cloud-based data warehousing platforms. This position is pivotal for our ongoing development and enhances the proficiency and outcomes of our team.
Responsibilities:
- Architecting, designing, implementing, and operationalizing large-scale data and analytics solutions on Snowflake Cloud Data Warehouse or Databricks
- Providing production support for Data Warehouse issues such as data load problems and transformation translation problems
- Translating mapping specifications into data transformation design and development strategies, incorporating standards and best practices
- Developing data pipelines and automating data pipeline testing in cloud-based environments, with clear documentation
- Conducting code reviews to ensure alignment with requirements and adherence to optimal execution patterns and established standards
- Building ETL pipelines in and out of the data warehouse using a combination of Databricks/Snowflake, Python, and SQL
- Establishing and monitoring Operational Level Agreements for warehouse health and performance/cost (Loads, queries, data quality)
Requirements:
- A minimum of 5 years of relevant experience in data engineering
- Hands-on experience with Python, PySpark, and SQL
- In-depth knowledge of Data Warehousing
- Demonstrable experience with Databricks and/or Snowflake platforms
- Experience in Data Integration Solutions and familiarity with Azure Data Factory or AWS Glue is a plus
- Experience with Python libraries like Pandas, Numpy, etc is a plus
- Preferred experience in the finance or banking sector, with an understanding of securities and banking products
What’s in it for you:
- Global mobility program: Experience our international culture and way of doing things
- Opportunity to move into new projects, roles, and between departments
- Specialized training, accredited certification, and unlimited Udemy courses
- Opportunity to grow your career through our customized leadership program
- Private medical insurance
- FitPass membership
- Attractive salary package and the chance to earn performance-based bonuses
- Comprehensive Referral Rewards Program
One of the prerequisites for this position is that the prospective candidate must possess a valid work permit for Serbia.
*Dear applicant, only short-listed candidates for this Job opening will be contacted. If we find you more suitable for any of our other future job openings, we will keep you in mind and reach out to you accordingly.
We are looking forward to meeting you!
SYNECHRON’S DIVERSITY & INCLUSION STATEMENT
Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.
All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
